| # |
| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You under the Apache License, Version 2.0 |
| # (the "License"); you may not use this file except in compliance with |
| # the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| |
| import unittest |
| from typing import cast |
| |
| from pyspark.sql.functions import pandas_udf |
| from pyspark.testing.sqlutils import ( |
| ReusedSQLTestCase, |
| have_pandas, |
| have_pyarrow, |
| pandas_requirement_message, |
| pyarrow_requirement_message, |
| ) |
| |
| |
| @unittest.skipIf( |
| not have_pandas or not have_pyarrow, |
| cast(str, pandas_requirement_message or pyarrow_requirement_message), |
| ) |
| class PandasSQLMetrics(ReusedSQLTestCase): |
| def test_pandas_sql_metrics_basic(self): |
| # SPARK-34265: Instrument Python UDFs using SQL metrics |
| |
| python_sql_metrics = [ |
| "data sent to Python workers", |
| "data returned from Python workers", |
| "number of output rows", |
| ] |
| |
| @pandas_udf("long") |
| def test_pandas(col1): |
| return col1 * col1 |
| |
| self.spark.range(10).select(test_pandas("id")).collect() |
| |
| statusStore = self.spark._jsparkSession.sharedState().statusStore() |
| lastExecId = statusStore.executionsList().last().executionId() |
| executionMetrics = statusStore.execution(lastExecId).get().metrics().mkString() |
| |
| for metric in python_sql_metrics: |
| self.assertIn(metric, executionMetrics) |
| |
| |
| if __name__ == "__main__": |
| from pyspark.sql.tests.test_pandas_sqlmetrics import * # noqa: F401 |
| |
| try: |
| import xmlrunner |
| |
| testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2) |
| except ImportError: |
| testRunner = None |
| unittest.main(testRunner=testRunner, verbosity=2) |